个人简历

学习经历\r
2015.09 – 2019.11 北京航空航天大学 计算机软件与理论博士学位\r
2015.09 – 2019.11 国家计算机网络应急技术处理协调中心 联合培养博士生\r
2018.11 – 2019.09 美国伊利诺伊大学芝加哥分校 联合培养博士生\r
\r
Academic Awards\r
[2023] Our 2021 CAAI-Huawei MindSpore Open Fund was awarded the Excellent Project\r
[2023] One ACM TOIS paper was selected as Hot Paper in Essential Science Indicators\r
[2023] One Information Science paper was selected as Highly Cited Paper in Web of Science\r
[2022] Three ACM CIKM 2022 papers were selected as Best Paper Candidate\r
[2022] One paper published on CIKM 2022 is awarded the Best Paper Runner Up\r
[2022] The second prize of the Natural Science Award of the China Simulation Federation\r
[2022] One paper was selected into the list of most influential papers of SIGIR\r
[2022] Three papers were selected into the list of most influential papers of WWW\r
[2021] The excellent doctor degree dissertation of Beihang University\r
[2021] One IEEE ICDM 2021 paper was selected as Best Paper Candidate\r
[2021] Two papers were selected into the list of most influential papers of CIKM\r
[2021] One IEEE TKDE paper was selected as Highly Cited Paper in Web of Science\r
[2021] One IEEE TITS paper was selected as Highly Cited Paper in Web of Science\r
[2021] One paper was selected into the Google academic 2021 Global Academic Journal Conference top 100\r
[2021] Our member Shaoning Li received the first prize of CCF excellent college school student\r
[2021] One paper was selected into the list of most influential papers of WWW\r
[2020] The excellent doctor degree dissertation of Chinese Association for Artificial Intelligence\r
[2019] The outstanding graduates of Beihang University\r
[2018] The first prize of the Technology Invention Award of the Chinese Institute of Electronics\r
[2017] The first prize of excellent scientific research of National Computer Network Emergency Technology Processing and Coordination Center\r
[2017] The National scholarship for doctoral students

研究领域

"大数据分析与人工智能、社交数据分析与挖掘、时空数据分析与挖掘"

近期论文

Hierarchical State Abstraction Based on Structural Information Principles. Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu IJCAI 2023:International Joint Conference on Artificial Intelligence\r
\r
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. Xianghua Zeng, Hao Peng, Angsheng Li AAAI '23: Association for the Advancement of Artificial Intelligence(AAAI)\r
\r
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu AAAI '23: Association for the Advancement of Artificial Intelligence(AAAI)\r
\r
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu WWW '23: 2023 ACM Web Conference(WWW)\r
\r
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. Yingguang Yang, Renyu Yang, Hao Peng, Xiang Huang, Yangyang Li, Tong Li, WWW '23: 2023 ACM Web Conference(WWW)\r
\r
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, WWW '23: 2023 ACM Web Conference(WWW)\r
\r
Minimum entropy principle guided graph neural network. Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining\r
\r
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining\r
\r
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. Mingdai Yang, Zhiwei Liu, Liangwei Yang, Chen Wang, Hao Peng, Philip S. Yu WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining\r
\r
Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining. Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Phillp S. Yu IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI)\r
\r
A Robust and Generalized Framework for Adversarial Graph Embedding. Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He IEEE Transactions on Knowledge and Data Engineering(TKDE)\r
\r
A Robust and Generalized Framework for Adversarial Graph Embedding. Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He IEEE Transactions on Knowledge and Data Engineering(TKDE)\r
\r
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Chaochao Chen, Zhiwei Liu, Jia Wu, Xu Bai, Philip S. Yu ACM International Conference on Information and Knowledge Management (CIKM)\r
\r
From Known to Unknown Evidential Self improving Graph Neural Network for Open Set Social Event Detection. Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He ACM International Conference on Information and Knowledge Management (CIKM)\r
\r
Automating DBSCAN via Deep Reinforcement Learning. Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu ACM International Conference on Information and Knowledge Management (CIKM)\r
\r
Deep reinforcement learning guided graph neural networks for brain network analysis. Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J.M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He Neural Networks (NN)\r
\r
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu IEEE International Conference on Web Services (ICWS)\r
\r
Reinforced, Incremental and Cross-lingual Event Detection From Social Messages. Hao Peng, Ruitong Zhang, IEEE Transactions on Pattern Analysis Machine Intelligence (TPAMI)\r
\r
Federated Social Recommendation with Graph Neural Network. Zhiwei Liu, LiangWei Yang Ziwei Fan Hao Peng, Philip S. Yu, ACM Transactions on Intelligent Systems and Technology (TIST)\r
\r
Federated Multi-View Learning for Private Medical Data Integration and Analysis. Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He. ACM Transactions on Intelligent Systems and Technology (TIST)\r
\r
Multi-view Tensor Graph Neural Networks Through Reinforced Aggregation. Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan Senzhang Wang, Philip S. Yu. IEEE Transactions on Knowledge and Data Engineering (TKDE)\r
\r
A Self-supervised Mixed-curvature Graph Neural Network. Li Sun, ZhongBao Zhang, Junda Ye, Hao Peng, Junda Ye, Philip S. Yu. Association for the Advancement of Artificial Intelligence (AAAI)\r
\r
Graph Structure Learning with Variational Information Bottleneck. Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji Philip S. Yu. Association for the Advancement of Artificial Intelligence (AAAI)\r
\r
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He IEEE Transactions on Neural Networks and Learning Systems (TNNLS)\r
\r
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu ACM Transactions on Information Systems (TOIS)\r
\r
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He IEEE Transactions on Knowledge and Data Engineering (TKDE)\r
\r
Privacy-Preserving Federated Depression Detection from Multi-Source Mobile Health Data Xiaohang Xu, Hao Peng, Md Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He IEEE Transactions on Industrial Informatics (TII)\r
\r
A reliable deep learning-based algorithm design for IoT load identification in smart grid Yanmei Jiang, Mingsheng Liu, Hao Peng, Md Zakirul Alam Bhuiyan Ad Hoc Networks (NETW)\r
\r
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun ACM International Conference on Information and Knowledge Management (CIKM)\r
\r
Differentially Private Federated Knowledge Graphs Embedding Hao Peng, Haoran Li, Yangqiu Song, Vincent Zheng, Jianxin Li ACM International Conference on Information and Knowledge Management (CIKM)\r
\r
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun IEEE Transactions on Neural Networks and Learning Systems (TNNLS)\r
\r
TextGTL: Graph-based Transductive Learning for Semi-Supervised Text Classification via Structure-Sensitive Interpolation Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang International Joint Conference on Arti?cial Intelligence (IJCAI)\r
\r
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He IEEE Transactions on Knowledge and Data Engineering (TKDE)\r
\r
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng, Journal of Artificial Intelligence Research (JAIR)\r
\r
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu, North American Chapter of the Association for Computational Linguistics (NAACL)\r
\r
LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, IEEE Transactions on Computers (TC)\r
\r
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu, Association for the Advancement of Artificial Intelligence (AAAI)\r
\r
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, International Conference on Database Systems for Advanced Applications (DASFFA)\r
\r
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S.Yu, Lifang He, World Wide Web Conference (WWW)\r
\r
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S.Yu, World Wide Web Conference (WWW)\r
\r
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, ACM Transactions on Knowledge Discovery from Data (TKDD)\r
\r
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S.Yu, Association for the Advancement of Artificial Intelligence (AAAI)\r
\r
Adversarial Directed Graph Embedding Shijie Zhu, Hao Peng, Jianxin Li, Senzhang Wang, Lifang He, Association for the Advancement of Artificial Intelligence (AAAI)\r
\r
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction Senzhang Wang, Jiannong Cao, Hao Chen, Hao Peng, Zhiqiu Huang ACM Transactions on Spatial Algorithms and Systems (TSAS)\r
\r
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He The IEEE International Conference on Data Mining (ICDM)\r
\r
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu ACM International Conference on Information and Knowledge Management (CIKM)\r
\r
Spatial Temporal Incidence Dynamic Graph Neural Networks for Traffic Flow Forecasting Hao Peng, Hongfei Wang, Bowen Du, Md Zakirul Alam Bhuiyan, Hongyuan Ma, Jianwei Liu, Lihong Wang, Zeyu Yang, Linfeng Du, Senzhang Wang, Philip S. Yu Information Sciences (IS)\r
\r
Multi-Information Source HIN for Medical Concept Embedding Yuwei Cao, Hao Peng, Philip S. Yu Pacific Asia Knowledge Discovery and Data Mining (PAKDD)\r
\r
Motif-matching based Subgraph-level Attentional Convolutional Network for Graph Classi?cation Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He Association for the Advancement of Artificial Intelligence (AAAI)\r
\r
HinCTI: A Cyber Threat Intelligence Modeling and Identi?cation System Based on Heterogeneous Information Network Yali Gao, Xiaoyong Li, Hao Peng, Binxing Fang, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering (TKDE)\r
\r
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu International Conference on Computational Linguistics (COLING)\r
\r
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu IEEE International Conference on Big Data (BIGDATA)\r
\r
Approximate Error Estimation based Incremental Word Representation Learning Hao Peng, Lin Liu, Liya Ma, Weiqin Zhao, Hongyuan Ma, Yuntao Long Data Science and Pattern Recognition (DSPR)\r
\r
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection Zhiwei Liu, Yingtong Dou, Yutong Deng, Hao Peng, Philip S. Yu ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)\r
\r
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)\r
\r
LSTM variants meet graph neural networks for road speed prediction Zhilong Lu, Weifeng Lv, Yabin Cao, Zhipu Xie, Hao Peng, Bowen Du Neurocomputing (NC)\r
\r
Modeling relation paths for knowledge base completion via joint adversarial training Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang Knowledge-Based Systems (KBS)\r
\r
Multi-attributed heterogeneous graph convolutional network for bot detection Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng Information Scineces(IS)\r
\r
Towards a distributed local-search approach for partitioning large-scale social networks Bin Zheng, Ouyang Liu, Jing li, Yong Lin, Chong Chang, Bo Li, Tefeng Chen, Hao Peng Information Scineces(IS)\r
\r
Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters Renyu Yang, Chunming Hu, Xiaoyang Sun, Peter Garraghan, Tianyu Wo, Zhenyu Wen, Hao Peng, Jie Xu, Chao Li IEEE Transactions on Parallel and Distributed Systems (TPDS)\r
\r
Learning Semantic Coherence for Machine Generated Spam Text Detection Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu International Joint Conference on Neural Networks (IJCNN)\r
\r
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classi?cation Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Lifang He, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering (TKDE)\r
\r
Hetespaceywalk: a heterogeneous spacey random walk for heterogeneous information network embedding Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng ACM International Conference on Information and Knowledge Management (CIKM)\r
\r
Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S.Yu, International Joint Conference on Arti?cial Intelligence (IJCAI)\r
\r
Event detection and evolution in multi-lingual social streams Yaopeng Liu, Hao Peng, Jianxin Li, Yangqiu Song, Xiong Li Frontiers of Computer Science (FCS)\r
\r
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren SCIENCE CHINA Information Sciences (SCIS)\r
\r
Deep Irregular Convolutional Residual LSTM for Urban Traf?c Passenger Flows Prediction Hao Peng, Bowen Du, Senzhang Wang, Md Zakirul Alam Bhuiyan, Lihong Wang, Qiran Gong, Lin Liu, Jing Li Transactions on Intelligent Transportation Systems (TITS)\r
\r
Bibliographic Name Disambiguation with Graph Convolutional Network Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang International Conference on Web Information Systems Engineering (WISE)\r
\r
Aspect-Based Sentiment Classi?cation with Attentive Neural Turing Machines Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, International Joint Conference on Arti?cial Intelligence (IJCAI)\r
\r
Time-evolving Text Classi?cation with Deep Neural Networks Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng International Joint Conference on Arti?cial Intelligence (IJCAI)\r
\r
Large-Scale Hierarchical Text Classification with Recursively Regularized DeepGraph-CNN Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang World Wide Web Conference (WWW)\r
\r
Incremental term representation learning for social network analysis Hao Peng, Mengjiao Bao, Jianxin Li, Md Zakirul Alam Bhuiyan, Yaopeng Liu, Yu He, Erica Yang Future Generation Computer Systems (FGCS)\r
\r
Eagle+:A fast incremental approach to automaton and table online updates for cloud services Jianxin Li, Hao Peng, Erica Yang, Chunming Hua, Shenghai Zhong, Lihong Wang Future Generation Computer Systems (FGCS)\r
\r
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu AAAI Conference on Artificial Intelligence (AAAI)\r
\r
User portrait construction method and device Jianxin Li, Jun Li, Chen Li, Hao Peng, Richong Zhang National invention patent (PAT)\r
\r
Multi-granularity real-time hot spot aggregation method Jianxin Li, Chen Li, Tian Lan, Richong Zhang, Hao Peng National invention patent (PAT)\r
\r
Method and device for modifying compressed files Jianxin Li, Chuan He, Hao Peng, Yangyang Zhang National invention patent (PAT)\r
\r
Real-time streaming text grading monitoring method and device Richong Zhang, Chen Li, Tian Lan, Jianxin Li,\tHao Peng National invention patent (PAT)\r
\r
Word vector generation method and device based on incremental learning Richong Zhang, Mengjiao Bao, Pengyao Liu, Hao Peng, Jianxin Li, National invention patent (PAT)\r
\r
Semantic expansion-based microblog sudden event detection method and device Chunming Hu, Bo Wu, Hao Peng, Richong Zhang, Jianxin Li National invention patent (PAT)\r
\r
Word vector training method and device Jianxin Li,\tPengyao Liu, Hao Peng, Hanteng Chen, Richong Zhang \r
National invention patent (PAT)
国际学术会议程序委员会成员、学术期刊副主编、审稿人：AAAI’2020’2019, KDD’2020’2019’2018, IJCAI’2020’2019’2018, CIKM’2019’2018, DASFAA’2020’2019’2018’2017, IEEE TKDE, IEEE Internet of Things Journal (IEEE IoT), IEEE Transactions on Intelligent Transportation Systems (ITS), ACM Computing Surveys, ACM Transactions on Intelligent Systems and Technology (ACM TIST), Journal of Network and Computer Applications, Computers & Security; 国际学术期刊Data Science and Pattern Recognition副主编。